Information Uptriever: A system for Content Assimilation and Aggregation for Developing Regions
In the developing regions much of local information content is not available in form seasily indexable by web crawlers. In this paper we describe a new local data uploading system called Information Uptriever. The goal of Information Uptriever is to selectively upload local data relevant to a pre-defined set of decision-making situations. Rather than uploading normal (or all) information that does not necessarily result in an immediate action an Information Uptriever uploads actionable information that is likely to be most relevant in a decision-making situation and may lead to action. Using freely available resources on the web we implement the system for uploading actionable information pertaining to the domain of Indian higher education as a proof-of-concept. Our anecdotes suggest that uptrieving is very effective for uploading information relevant to a pre-defined set of actions. The live system is accessible at http://uptriever.googlepages.com
KeywordsLocal Data Actionable Information Wide Audience Information Retrieval System Content Challenge
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- 1.Thies W., et al: Searching the World Wide Web in Low-Connectivity Communities, 7–11 May 2002 WWW2002, Honolulu, Hawaii, USA (2002)Google Scholar
- 2.Web Delivery Models, Panel Discussion WWW 2007, May 8–12, 2007, Banff, Canada (2007)Google Scholar
- 3.Agarwal S., Kumar A., Mukherjea S., Nanavati A., Rajput N.: Information Uptrieval: Exploring Models for Content Assimilation and Aggregation for Developing Regions, WWW 2008/Panel Overview April 21–25, 2008 Beijing, China (2008)Google Scholar
- 4.Talukder A.: Web-:Greatest Equliziser for the Developing World, WWW 2007, May 8–12, 2007, Banff, Canada (2007)Google Scholar